Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2016 Annual Conference: Human Factors and User Needs in Transport, Control, and the Workplace

The objective of this study is to discover driving behaviour features that indicate pedestrian collision risk of right-turns at intersections for collision risk assessment. Right-turns at intersections is a typical accident scene of vehicle-pedestrian accidents in Japan, and if the collision risk of this scene becomes measurable, driverassistance-systems will be able to prevent those accidents. To realise the objective, driving behaviour reflecting drivers’ risk anticipation was focused on. Because collisions occur when drivers fail to anticipate risk correctly and driving behaviour is partially determined considering the drivers’ anticipation, collision risk could be evaluated based on the driving behaviour features reflecting risk anticipation. To discover the driving behaviour features, first, near-miss incident data with high collision risk behaviour was analysed. Features of drivers’ visual search and vehicle control were extracted as driving behaviour index candidates. Next, pedestrian collision risk scenes were experimentally reproduced and the relationship between the driving behaviour index candidates and collision risk were investigated. Evaluation indices based on drivers’ visual search behaviour features showed significant correlation with pedestrian collision risk. From the results, it was clarified that pedestrian collision risk is evaluable with driver’s visual search behaviour, and the visual search behaviour feature to realize the evaluation was identified.

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